SEO Dataforseo
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install garrettjsmith/localseoskills localseodata-tool --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/localseodata-tool .claude/skills/localseodata-tool && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "localseodata-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-tool into .claude/skills/localseodata-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "localseodata-tool", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-toolType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install garrettjsmith/localseoskills localseodata-tool --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/localseodata-tool .agents/skills/localseodata-tool && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "localseodata-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-tool into .agents/skills/localseodata-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "localseodata-tool", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install garrettjsmith/localseoskills localseodata-tool --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/localseodata-tool .cursor/skills/localseodata-tool && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "localseodata-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-tool into .cursor/skills/localseodata-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "localseodata-tool", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/garrettjsmith/localseoskills.git --path skills/localseodata-tool--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install garrettjsmith/localseoskills localseodata-tool --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/localseodata-tool .gemini/skills/localseodata-tool && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "localseodata-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-tool into .gemini/skills/localseodata-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "localseodata-tool", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install garrettjsmith/localseoskills localseodata-toolInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/localseodata-tool .github/skills/localseodata-tool && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "localseodata-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-tool into .github/skills/localseodata-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "localseodata-tool", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install garrettjsmith/localseoskills localseodata-tool --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/localseodata-tool .opencode/skills/localseodata-tool && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "localseodata-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/localseodata-tool into .opencode/skills/localseodata-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "localseodata-tool", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
localseodata-toolWhen the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…
Localseodata Tool is an agent skill from garrettjsmith/localseoskills. When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor analysis, or any local search intelligence. This is the DEFAULT data tool for LocalSEOSkills. Trigger on any data request before considering other tools. Also trigger on "LocalSEOData," "LSD," "run an audit," "check my rankings," "pull reviews," "citation check," "keyword opportunities," "AI visibility," or "geogrid scan."
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Local SEO, AI search optimization and Citation management. It works with Model Context Protocol. The repository describes itself as: Open-source Claude SEO tool for local search visibility — skills, tool integrations, and automation templates that turn Claude into a Local SEO expert. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 405ce20. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
mcp.localseodata.comlocalseodata.comaceplumbing.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Localseodata Tool loads about 4.1k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 1,718 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from garrettjsmith/localseoskills at commit 405ce20, republished under its MIT licence (© garrettjsmith). 1,718 words, ~4,116 tokens.
.claude/skills/localseodata-tool/SKILL.md (or your agent's skills folder).You have direct access to LocalSEOData via MCP. This is the default data source for LocalSEOSkills. Check here first before routing to other tools.
MCP Server: https://mcp.localseodata.com/mcp
Docs: https://localseodata.com/docs
LocalSEOData covers most local SEO data needs in one place. Only use other tools when LocalSEOData genuinely can't do the job.
| You Need | LocalSEOData | Use Instead |
|---|---|---|
| Local pack rankings | ✅ local_pack | — |
| Full SERP with all features | ✅ organic_serp | — |
| Google Maps results | ✅ maps | — |
| Local Finder results | ✅ local_finder | — |
| Geogrid ranking scan | ✅ geogrid_scan | Local Falcon for trends, campaigns, Falcon Guard |
| Business profile data | ✅ business_profile | REST API recommended (MCP support coming) |
| Google reviews | ✅ google_reviews | — |
| Multi-platform reviews | ✅ multi_platform_reviews | — |
| Review velocity trends | ✅ review_velocity | — |
| Citation audit (NAP consistency) | ✅ citation_audit | — |
| Full local SEO audit | ✅ local_audit | — |
| Reputation audit | ✅ reputation_audit | — |
| Profile health check | ✅ profile_health | REST API recommended (MCP support coming) |
| On-page SEO audit | ✅ page_audit | Screaming Frog for site-wide crawls |
| Competitor gap analysis | ✅ competitor_gap | — |
| Keyword opportunities | ✅ keyword_opportunities | — |
| Keyword suggestions | ✅ keyword_suggestions | — |
| Related keywords | ✅ related_keywords | — |
| Search volume data | ✅ search_volume | keyword_suggestions also includes volume |
| Keyword trends | ✅ keyword_trends | — |
| Keywords a site ranks for | ✅ keywords_for_site | — |
| Backlink summary | ✅ backlink_summary | Ahrefs for deep backlink analysis |
| Backlink gap analysis | ✅ backlink_gap | Ahrefs for detailed link profiles |
| AI Overview detection | ✅ ai_overview | — |
| AI Mode response | ✅ ai_mode | — |
| AI mentions across platforms | ✅ ai_mentions | — |
| AI visibility scoring | ✅ ai_visibility | — |
| AI top cited sources | ✅ ai_top_sources | — |
| AI top cited pages | ✅ ai_top_pages | — |
| AI keyword-level data | ✅ ai_keyword_data | — |
| Raw AI/LLM response for a prompt | ✅ ai_llm_response | — |
| AI scraper (extract from AI results) | ✅ ai_scraper | — |
| AI competitor comparison | ✅ ai_compare | — |
| Local Services Ads data | ✅ local_services_ads | LSA Spy for market-level tracking over time |
| Competitor ad intelligence | ✅ competitor_ads | — |
| Business listings by category | ✅ business_listings | — |
| Brand mentions | ✅ brand_mentions | — |
| Q&A from GBP | ✅ qa (or business_qa) | — |
| Local authority score | ✅ local_authority | — |
| Ranking trends over time | ❌ | Local Falcon trend reports |
| GBP change monitoring | ❌ | Local Falcon (Falcon Guard) |
| Recurring scan campaigns | ❌ | Local Falcon campaigns |
| Deep backlink analysis (anchors, lost links) | ❌ | Ahrefs |
| Full site crawl (technical SEO) | ❌ | Screaming Frog |
| Actual traffic/conversion data | ❌ | Google Analytics |
| Real click/impression data | ❌ | Google Search Console |
| LSA market tracking over time | ❌ | LSA Spy |
Many endpoints require a location string. The required format varies by endpoint type:
| Endpoint Group | Format | Example |
|---|---|---|
| SERP (organic_serp, local_pack, local_services_ads) | Canonical from location_search | "Syracuse, NY,New York,United States" |
| Maps, Local Finder | Canonical from location_search | "Syracuse, NY,New York,United States" |
| Business (profile, health, reviews, qa, listings) | City, ST | "Buffalo, NY" |
| Reviews (multi_platform, velocity, reputation_audit) | City, ST | "Buffalo, NY" |
| Competitor (competitor_gap, competitor_ads) | City, ST | "Buffalo, NY" |
| Citation audit | Full address + phone (not location param) | address: "123 Main St, Buffalo, NY 14201" |
| Keyword endpoints (US) | City, Full State Name | "Syracuse, New York" |
| Keyword endpoints (Canada) | City, Province Abbreviation | "Port Colborne, ON" |
| AI endpoints (keyword-data, visibility, mentions) | City, Full State Name | "Syracuse, New York" |
| Local audit, local authority | City, ST | "Buffalo, NY" |
| Geogrid scan | City, ST | "Buffalo, NY" |
| Business listings | City, ST | "Buffalo, NY" |
| Brand mentions | Business name only (no location) | business_name: "Ace Plumbing" |
Note: The API now normalizes US state and Canadian province abbreviations automatically (e.g. "NY" to "New York", "ON" to "Ontario"). Both "Buffalo, NY" and "Buffalo, New York" should work for all endpoints.
location_search first to resolve the exact location name (free, 0 credits, GET not POST)name field from location_search exactly (commas, no spaces after commas)When: User says "audit this business," "check my local SEO," or "what's wrong with my rankings."
Use: local_audit
business_name: "Ace Plumbing"
location: "Buffalo, NY"Returns local pack position, organic rankings, profile completeness, review velocity, and competitors in a single call. 50 credits.
This replaces manually combining data from 3-4 different tools.
When: User wants to see how a business ranks across a geographic area.
Use: geogrid_scan
business: "Ace Plumbing"
keyword: "plumber near me"
location: "Buffalo, NY"
grid_size: "7x7" # 5x5 (default), 7x7, or 9x9
radius_miles: 3 # default 3This is an async operation — the tool polls until results are ready. Returns a rank grid, average rank, and coverage stats.
Credit costs: 5x5 = 50 credits, 7x7 = 98 credits, 9x9 = 162 credits. (Formula: grid points × 2.)
For interpretation: Load the geogrid-analysis strategy skill.
Limitations vs Local Falcon:
ai_visibility endpoints instead)Use LocalSEOData geogrid for one-time scans and audits. Use Local Falcon for ongoing monitoring.
When: Need GBP data for audit, optimization, or reporting.
Use: business_profile
business_name: "Ace Plumbing"
location: "Buffalo, NY"Returns: name, rating, reviews, address, phone, website, hours, categories, attributes, photos count, description, verification status. 2 credits.
Note: For business_profile and profile_health, use the REST API directly. MCP support for these endpoints is in progress.
When: User wants review data, sentiment analysis, or velocity tracking.
Multiple endpoints depending on need:
| Need | Endpoint | Credits |
|---|---|---|
| Read recent reviews | google_reviews | 1 per 10 reviews |
| Reviews across platforms | multi_platform_reviews | 6 |
| Review velocity over time | review_velocity | 6 |
| Full reputation audit | reputation_audit | 30 |
review_velocity is the most useful for ongoing clients — shows reviews/month, rating trend, reply rate, sentiment themes.
reputation_audit is the heavy hitter — reputation score, sentiment analysis, response rate, and recommendations. Use for new client onboarding or quarterly reviews.
When: User wants to check NAP consistency across directories.
Use: citation_audit
business_name: "Ace Plumbing"
address: "123 Main St, Buffalo, NY 14201"
phone: "(716) 555-1234"Checks 20 major directories (Yelp, BBB, Facebook, YellowPages, etc.). Returns consistency score and per-directory details. 50 credits.
Note: Requires all three fields (name, address, phone) for NAP comparison.
When: User needs keyword ideas, search volumes, or competitive keyword data.
| Need | Endpoint | Credits | Notes |
|---|---|---|---|
| Keyword ideas for a business | keyword_opportunities | 4 | Best starting point |
| Suggestions from a seed keyword | keyword_suggestions | 2 | — |
| Search volume for specific keywords | search_volume | 1 | Use keyword_suggestions instead (includes volume) |
| Related keywords | related_keywords | 2 | — |
| Keywords a domain ranks for | keywords_for_site | 3 | Use keyword_suggestions instead |
| Keyword trends over time | keyword_trends | 1 | — |
Start with keyword_opportunities — it finds keywords based on the business category and location, shows difficulty, current rank, and volume. Best starting point for strategy.
Use keyword_suggestions when the user has a specific seed keyword and wants variations.
When: User wants to understand competitive landscape.
Use: competitor_gap
business_name: "Ace Plumbing"
location: "Buffalo, NY"
keyword: "plumber"
competitors: 5Returns ranking gaps, review count differences, and rating advantages vs competitors. 10 credits.
For ad intelligence: competitor_ads shows Google Ads campaigns from a competitor domain. 2 credits.
For backlink gaps: backlink_gap compares your domain against up to 5 competitors for link opportunities. 10 credits.
When: User asks about AI search visibility, AI Overviews, ChatGPT mentions, or GEO.
| Need | Endpoint | Credits |
|---|---|---|
| Does Google show an AI Overview? | ai_overview | 1 |
| What does Google AI Mode say? | ai_mode | 2 |
| Where does AI mention this keyword? | ai_mentions | 5 |
| Which sites do AI models cite? | ai_top_sources | 5 |
| Which pages do AI models cite? | ai_top_pages | 5 |
| How visible is a domain across AI? | ai_visibility | 10 |
| Keyword-level AI data | ai_keyword_data | 1 |
| Raw LLM response for a prompt | ai_llm_response | 8 |
| Extract data from AI search results | ai_scraper | 3 |
Start with ai_overview to check if AIO exists for the keyword, then use ai_visibility for domain-level scoring across multiple keywords.
ai_llm_response lets you send a prompt directly to an LLM and see the response. Useful for checking what ChatGPT/Gemini says about a business.
prompt: "Best plumber in Buffalo NY"
platform: "chat_gpt" # Options: chat_gpt, claude, gemini, perplexityai_keyword_data returns AI-specific metrics for keywords (uses keywords array, not singular).
keywords: ["plumber buffalo", "emergency plumber buffalo ny"]
location: "Buffalo, New York"ai_compare compares AI visibility across domains. Requires domains (array of 2-5) and keywords (array of 1-10). May return sparse data for smaller businesses.
When: User wants to see what Google shows for a search.
| Need | Endpoint | Credits |
|---|---|---|
| Full SERP (organic + local + ads + PAA + AIO) | organic_serp | 1 |
| Local pack only | local_pack | 1 |
| Google Maps results | maps | 1 |
| Local Finder results | local_finder | 1 |
| Local Services Ads | local_services_ads | 1 |
organic_serp is the most complete — returns everything on the page in one call.
When: User wants to check a specific URL for SEO issues.
Use: page_audit
url: "https://aceplumbing.com/services/drain-cleaning"Checks 50+ factors: title, meta, headings, images, Core Web Vitals, schema, mobile-friendliness. 4 credits.
For site-wide crawls across many pages, use Screaming Frog instead.
When: User wants a single score representing local search authority.
Use: local_authority
business_name: "Ace Plumbing"
location: "Buffalo, NY"
keyword: "plumber"Returns 0-100 score with component breakdown (rankings, reviews, profile completeness, citations) and percentile ranking. 10 credits.
Great for client reporting and tracking improvement over time.
All costs verified against source code (credits.ts) on Apr 10, 2026.
| Endpoint | Credits |
|---|---|
ping | 0 |
location_search | 0 (GET) |
local_pack | 1 |
organic_serp | 1 |
local_services_ads | 1 |
local_finder | 1 |
maps | 1 |
ai_overview | 1 |
keyword_trends | 1 |
qa / business_qa | 1 |
search_volume | 1 per 50 keywords (use keyword_suggestions) |
ai_keyword_data | 1 per 50 keywords |
google_reviews | 1 per 10 reviews |
business_profile | 2 |
profile_health | 2 |
ai_mode | 2 |
keyword_suggestions | 2 |
related_keywords | 2 |
competitor_ads | 2 |
ai_scraper | 3 |
keywords_for_site | 3 (use keyword_suggestions) |
brand_mentions | 3 |
page_audit | 4 |
keyword_opportunities | 4 |
backlink_summary | 5 (use Ahrefs for backlinks) |
ai_mentions | 5 |
ai_top_sources | 5 |
ai_top_pages | 5 |
multi_platform_reviews | 6 |
review_velocity | 6 |
ai_llm_response | 8 |
ai_compare | 10 |
ai_visibility | 10 |
backlink_gap | 10 |
business_listings | 10 per 50 results |
competitor_gap | 10 |
local_authority | 10 |
reputation_audit | 30 |
citation_audit | 50 |
local_audit | 50 |
geogrid_scan (5x5) | 50 |
geogrid_scan (7x7) | 98 |
geogrid_scan (9x9) | 162 |
| Endpoint | Note |
|---|---|
search_volume | Works via REST API. keyword_suggestions also returns volume data as an alternative |
keywords_for_site | Works via REST API |
backlink_summary | REST path is /v1/backlinks/summary (not /v1/links/backlink-summary) |
ai_compare | Requires keywords (array), not keyword (string). May return sparse data for small businesses |
business/reviews | Works. Also aliased as google_reviews |
citation_audit | REST path is /v1/audit/citation (also /v1/audit/citation-consistency). Not /v1/citations/consistency |
local_audit | Uses async job processing (submit + poll). MCP tool handles polling automatically |
REST API vs MCP: For business profile endpoints (business_profile, profile_health), the REST API is recommended. MCP may add an invalid keyword parameter to these endpoints. Composite endpoints (local_audit, review_velocity, citation_audit, reputation_audit) work via both REST and MCP.
local_audit — overall picture (50 credits)business_profile — GBP details (2 credits, REST API recommended)citation_audit — NAP consistency (50 credits)review_velocity — review health (6 credits)keyword_opportunities — keyword strategy (4 credits)competitor_gap — competitive landscape (10 credits)
Total: 122 credits for a complete new client assessment.local_pack for target keywords — ranking check (1 credit each)review_velocity — monthly review trends (6 credits)local_authority — authority score tracking (10 credits)ai_overview for target keywords — AI visibility check (1 credit each)local_pack — who's in the 3-pack (1 credit)
Done.business_profile — pull their GBP data (2 credits, REST API recommended)profile_health — find gaps to pitch on (2 credits, REST API recommended)google_reviews — review situation (1 credit)
Total: 5 credits to build a pitch.© garrettjsmith, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/localseodata-tool of garrettjsmith/localseoskills.
Open the folder on GitHubat commit 405ce20
Localseodata Tool next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Localseodata Tool this skillgarrettjsmith/localseoskills | 120 | — | ~4.1k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 797 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| DataForSEO Live SEO DataAgriciDaniel/claude-seo | 19k | — | ~4.4k | Automated safety check: Pass | MIT | |
| SEONexus-JPF/note-companion | 870 | — | ~2.2k | Automated safety check: Pass | MIT | |
| SEO Dataforseohashgraph-online/awesome-codex-plugins | 1.3k | — | ~4.5k | Automated safety check: Notes | MIT | |
| Competitor GapRyze-AI-Adgent/open-seo-mcp-skills | 4.6k | — | ~560 | Automated safety check: Pass | MIT |
AgriciDaniel/codex-seo
Live SEO data via DataForSEO MCP server. An agent skill from AgriciDaniel/codex-seo.
AgriciDaniel/claude-seo
Pulls live SERP results, keyword metrics, backlink profiles and AI visibility data through the DataForSEO MCP server, with a cost check before each call.
Nexus-JPF/note-companion
Use and read this skill immediately if the user request is in any way related to SEO or a site's organic search or AI search presence.
hashgraph-online/awesome-codex-plugins
Live SEO data via DataForSEO API credentials. An agent skill from hashgraph-online/awesome-codex-plugins.
Ryze-AI-Adgent/open-seo-mcp-skills
Find keywords a competitor ranks for that the user's site doesn't — the content gap, prioritized by volume and winnability.
Ryze-AI-Adgent/open-seo-mcp-skills
Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan.
garrettjsmith/localseoskills
When the user wants to programmatically manage Google Business Profiles at scale via API, automate GBP updates, build GBP management tools, or integrate GBP data into their systems.
garrettjsmith/localseoskills
When the user wants to create, schedule, or optimize Google Business Profile posts.
garrettjsmith/localseoskills
Generate complete semantic content briefs for local SEO content — location pages, service pages, blog posts, FAQ content, and pillar pages.
garrettjsmith/localseoskills
Manages persistent work state (briefs) for local SEO engagements.
garrettjsmith/localseoskills
Build a complete local content strategy from keyword research output.
garrettjsmith/localseoskills
When the user wants to run a geogrid scan, check existing scan reports, track ranking trends over time, monitor GBP changes via Falcon Guard, or analyze reviews.
Works with
Categories
When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…. Localseodata Tool is an agent skill from garrettjsmith/localseoskills. When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor analysis, or any local search intelligence.
Localseodata Tool fits situations like: wants to pull local SEO data — SERP results; local pack rankings; business profile data; keyword research.
Run `npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a claude-code`. Or copy the skill folder (skills/localseodata-tool in garrettjsmith/localseoskills) into .claude/skills/localseodata-tool in your project. Claude Code loads it when a task matches its description.
Run `npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a codex`. Or copy the skill folder (skills/localseodata-tool in garrettjsmith/localseoskills) into .agents/skills/localseodata-tool in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/localseodata-tool, .gemini/skills/localseodata-tool, .github/skills/localseodata-tool and .opencode/skills/localseodata-tool in your project.
SKILL.md names no scripts, command-line tools or credentials: Localseodata Tool is instructions for the agent only.
SKILL.md names 3 domains. In commands or code: mcp.localseodata.com, localseodata.com and aceplumbing.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Localseodata Tool is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Localseodata Tool: SEO Dataforseo (AgriciDaniel/codex-seo, 797 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 19k stars), SEO (Nexus-JPF/note-companion, 870 stars) and SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
garrettjsmith (a GitHub user) maintains it in garrettjsmith/localseoskills, which has 120 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 15, 2026.
Source: garrettjsmith/localseoskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.